Linear Prediction
Linear Prediction is a signal modeling technique that belongs to the class of parametric methods for estimating future values of a discrete-time signal as a linear function of its past samples, distinguished by its reliance on minimizing the prediction error in a least-squares sense to derive optimal predictor coefficients.
1.9K
Publications
110K
Citations
3.9K
Authors
1.3K
Institutions
Publications per year
2017–2026
240
Parents
1.9K
1–5 of 1.9K
3.9K
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Indian Institute of Technology Guwahati, India
18 publications · 851 citations
15
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14
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1–5 of 3.9K
1.3K
University of Rhode Island
Kingston, United States
24 h-index
55 publications
6.8K citations
AT&T (United States)
Bedminster, United States
18 h-index
44 publications
3.8K citations
Massachusetts Institute of Technology
Cambridge, United States
18 h-index
34 publications
2.4K citations

Indian Institute of Technology Madras
Chennai, India
18 h-index
39 publications
3.3K citations
University of California, Santa Barbara
Santa Barbara, United States
17 h-index
31 publications
1.3K citations
NTT (Japan)
Tokyo, Japan
17 h-index
65 publications
5.7K citations

Centre National de la Recherche Scientifique
Paris, France
17 h-index
53 publications
1.8K citations
Indian Institute of Technology Guwahati
Guwahati, India
16 h-index
39 publications
1.6K citations
1–8 of 1.3K
90 publications · 16.7K citations
49
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79 publications · 3.9K citations
35
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JASA · 43 publications · 4.6K citations
28
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34 publications · 2.2K citations
22
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33 publications · 1.6K citations
20
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